Data-driven fashion, virtual food and more

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–Nike has released an “elevated training collection” that uses data to create clothing based on heat and motion zones in the body, explains Complex.

–Restaurants are creating AR images of their food, from “sizzling hamburgers” to “pizza dripping with cheese”, which appear when guests use their phones to view menus and placemats. As virtual dining becomes more popular, restaurants are using these images to encourage guests to share their meals on social media, says Fortune.

–Google has updated its Ramadan apps to help Muslims find the direction of Mecca while offline and write 3D greeting cards for the holy month, shares The National.

–The Atlantic discusses how Beijing’s start-up scene could be the new Silicon Valley.

–The Rubbish Cafe, a new pop-up in London, teaches consumers how to reduce their consumption of single-use plastic. Campaign UK explores.

–Getty is refreshing its stock photos to include people with disabilities, since only 2% of publicly available imagery is disability-related, but nearly one in five people have a disability. Via Fast Company.

–AR startup Vyking has developed technology to let people virtually try on sneakers before they buy them online, writes Quartz.

–Forbes explains why automated stores are poised to succeed more in China than other markets.

–With collagen and tea offering both nutrition and health benefits, “the line between food and medicine is blurrier than ever.” The Verge investigates.

–Instagram is encouraging users to spend less time on their app, with a new time-management tool that shows users how much time they have spent online. Via Fast Company.

–As Apple, Amazon and Facebook move into finance, do they pose a serious threat to banks? CNN explores.

–A faster-fashion company called Choosy plans to use AI to copy celebrity style, delivering merchandise to consumers in less than two weeks. Via Racked.

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